Annual primary production: Patterns and mechanisms of change in a nutrient‐rich tidal ecosystem

Abstract

Although nutrient supply often underlies long-term changes in aquatic primary production, other regulatory processes can be important. The Sacramento-San Joaquin River Delta, a complex of tidal waterways forming the landward portion of the San Francisco Estuary, has ample nutrient supplies, enabling us to examine alternate regulatory mechanisms over a 21-yr period. Delta-wide primary productivity was reconstructed from historical water quality data for 1975-1995. Annual primary production averaged 70 g C m Ϫ2 , but it varied by over a factor of five among years. At least four processes contributed to this variability: (1) invasion of the clam Potamocorbula amurensis led to a persistent decrease in phytoplankton biomass (chlorophyll a) after 1986; (2) a long-term decline in total suspended solids-probably at least partly because of upstream dam construction-increased water transparency and phytoplankton growth rate; (3) river inflow, reflecting climate variability, affected biomass through fluctuations in flushing and growth rates through fluctuations in total suspended solids; and (4) an additional pathway manifesting as a long-term decline in winter phytoplankton biomass has been identified, but its genesis is uncertain. Overall, the Delta lost 43% in annual primary production during the period. Given the evidence for food limitation of primary consumers, these findings provide a partial explanation for widespread Delta species declines over the past few decades. Turbid nutrient-rich systems such as the Delta may be inherently more variable than other tidal systems because certain compensatory processes are absent. Comparisons among systems, however, can be tenuous because conclusions about the magnitude and mechanisms of variability are dependent on length of data record.Phytoplankton primary productivity in lakes, estuaries, and the ocean plays an essential role in element cycling, water quality, and food supply to heterotrophs (Cloern 1996). Although we implicitly recognize primary productivity as a time-varying process, much of our effort to measure and understand this variability has focused on time scales of 1 yr or less. How much does annual primary production vary from year to year or over periods of decades, and what are the underlying mechanisms of variability at these longer time scales? These time scales are of particular interest from a practical viewpoint: they span the period over which we must separate anthropogenic influences from natural variability in order to understand the effects of our current use of water resources. Long-term studies of annual primary production in individual systems can also help us to understand

Reevaluating the Generality of an Empirical Model for Light-Limited Primary Production in the San Francisco Estuary

“…Although the original authors of the light-utilization model for the SFE (Cole and Cloern 1984) predicted that the empirical efficiency factor y would likely respond to such changes, this parameter has been previously recalculated for the northern estuary only twice (Alpine and Cloern 1992;Jassby et al 2002). In both cases the value of y was similar to the previously estimated value.…”

“…In all of the estimates of y that have been determined, the model fitting method has been some variant on least-squares regression for which the x variable is assumed to be determined without error (or with small error). The alternative is to fit a geometric mean or major axis regression but that can Estuaries and Coasts result in biased predictions and would have been inconsistent with previous model fitting practices (e.g., Jassby et al 2002). We therefore fitted our raw data from the threeparameter curve using an alternative Bayesian model in which the composite parameter was estimated with error.…”

“…Cole and Cloern (1984) referred to the product B·I o ·Z p as the "composite parameter" and we adopt that terminology here. y is an "efficiency factor" as described by Jassby et al (2002) and is determined empirically as the regression slope of ΣP versus the composite parameter. The constant −4.61 is the natural log of 0.01 corresponding to the relationship between k and Z p .…”

“…Depth-integrated primary production from each sample was fit to the light-utilization model of Cole and Cloern (1984) and described by Jassby et al (2002) as:…”

“…The "light-utilization" productivity model (Harding et al 2002), developed during the 1980s for the light-limited San Francisco Estuary (SFE), provides estimates of depth-integrated primary production from measurements of chlorophyll, daily photosynthetically active radiation (PAR), and water column light attenuation (Cole and Cloern 1984). The original SFE model calibration was subsequently shown to be generally applicable to several light-limited estuaries (Cole and Cloern 1987) and invariant with time in the SFE (Alpine and Cloern 1992;Jassby et al 2002). As a result, the model is routinely applied using data from water quality monitoring as a means of evaluating changes to the primary production cycle in the SFE and for comparison with other estuaries (Cole and Cloern 1987;Kimmerer 2005).…”